Design and maintain scalable backend systems for data infrastructure, focusing on event-driven architectures, microservices, and system performance.
ABOUT US
At Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.
Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.
Longevity Opportunity Vision Enjoy the game!
ABOUT YOU
We’re looking for a Senior Software Engineer who thrives on solving complex technical challenges and building scalable systems that serve millions of users. You’re someone who enjoys working across languages and platforms, with solid backend experience in Go and a deep understanding of microservices architecture.
You’re experienced with containerized environments and orchestration platforms, CI/CD practices, and automated testing, ensuring systems are scalable, maintainable, and production-ready. You know how to architect systems that are resilient, maintainable, and scalable. You’re data-driven, collaborative, and committed to building high-impact solutions that support Xsolla’s mission to power the global gaming economy.
About The Platform Team
- Event data is at the center of Adtech architecture. This platform team is defining how we shape and transmit events across all of our systems.
- The team ensures the systems that these events cross are built with consistency, reliability, and scalability in mind, and is responsible for scaling workflows driven by these events.
- In the team, we're big users of Kafka, it's used in the majority of our streaming processing workloads.
- In terms of storage, we primarily use Postgres (for OLTP), Clickhouse (for customer-facing OLAP workloads), and BigQuery (for internal use only).
- The team is currently composed of 4 Engineers, and the majority of their work is on platform systems.
- We use Temporal to power distributed workflows across services, especially for orchestrating multi-step, event-driven processes.
- This team is NOT: IT data, data governance, and feeding data warehouses. The team is focused on delivering high-quality data within the product, providing an interface for stakeholders, and computing critical workflows at scale.
Responsibilities
- Design, build, and maintain scalable, event-driven backend systems that power the core data infrastructure used across Xsolla products.
- Contribute to the evolution of our event platform — including how events are shaped, routed, processed, and stored at scale.
- Develop services and workflows using Go, Kafka, and Temporal.
- Collaborate cross-functionally with product managers, designers, QA, and other engineering teams to deliver end-to-end solutions.
- Own critical components of the Platform architecture — especially those related to event ingestion, transformation, and delivery.
- Develop and maintain scalable microservices deployed in containerized environments (e.g., Kubernetes).
- Lead technical design discussions and architecture reviews, focusing on performance, reliability, and maintainability.
- Take ownership of workflows and services in production — including performance tuning, incident resolution, and on-call participation.
Qualifications and Skills
- 2+ years of experience with Kafka.
- 5+ years of backend experience, ideally with Go (or similar).
- Experienced with asynchronous microservices, understands distributed computing and architecture in general.
- Hands-on experience with workflow orchestration tools such as Temporal, Cadence, or equivalent.
- Understands cloud infrastructure, observability, and scaling.
- Experience working with Kubernetes, Docker, and containerized environments.
- Ability to analyze complex problems, identify root causes, and implement effective solutions.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Background in the gaming or payments industry.
Good To Have
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: [email protected]
Explore more opportunities at: https://xsolla.com/careers
Top Skills
BigQuery
Clickhouse
Docker
Go
Kafka
Kubernetes
Postgres
Temporal
Similar Jobs
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
Join the Stablecoin Platform Team to design and implement secure systems for stablecoin transactions and blockchain integration while collaborating across teams.
Top Skills:
C#C++JavaKotlinPythonRust
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Head of Compliance Oversight & Process Excellence ensures regulatory adherence in labeling & artwork operations, drives process improvements, and manages a team while collaborating with stakeholders.
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Section Controller will execute finance planning and performance management tasks, ensure compliance, improve processes, and collaborate with finance teams to drive efficiency and accountability.
Top Skills:
SAP
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal